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Effect of neighbouring village conditions and infrastructure interdependency on economic opportunity: A case study of the Yogyakarta region, Indonesia

机译:邻近村庄条件和基础设施相互依存关系对经济机会的影响:以印度尼西亚日惹地区为例

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摘要

To determine whether the inclusion of conditions in neighbouring villages and infrastructure interdependency are able to improve the performance of infrastructure-economy interaction models, we compare three related and progressive concepts. The first concept defines economic opportunity in a village as a function of available infrastructure within that village. The second concept includes the effect of economic opportunity in neighbouring villages in addition to available infrastructure within the village. In the third concept, we include the interdependency of infrastructures as another factor affecting the potential level of economic development in the village. We use Ordinary Least Squares (OLS) and a Geographic Information System (GIS) to model the first concept, and we add a spatial-lag model for the second. The third model expands on the second by introducing a Sugeno Fuzzy Inference System (FIS) and a rule-based OLS to capture the nature of infrastructure interdependency. The result of the three models is validated by a known spatial distribution of poverty levels and subjective well-being that serve as proxies for economic opportunity in the Yogyakarta region in Indonesia. The results demonstrate that the third model provides a more accurate prediction of the real conditions and performs consistently better than the other two models. We therefore conclude that conditions in neighbouring villages and infrastructure interdependency influence the economic opportunity of a village and should be considered in policy making regarding resource allocation in infrastructure development.
机译:为了确定邻近村庄的条件纳入和基础设施相互依存关系是否能够改善基础设施-经济相互作用模型的性能,我们比较了三个相关的渐进概念。第一个概念将村庄的经济机会定义为该村庄内可用基础设施的函数。第二个概念除了包括村庄内可用的基础设施之外,还包括邻近村庄的经济机会的影响。在第三个概念中,我们将基础设施的相互依赖关系作为影响村庄经济发展潜力的另一个因素。我们使用普通最小二乘(OLS)和地理信息系统(GIS)来为第一个概念建模,并为第二个概念添加空间滞后模型。第三个模型在第二个模型的基础上进行了扩展,引入了Sugeno模糊推理系统(FIS)和基于规则的OLS,以捕获基础结构相互依赖的性质。已知的贫困水平和主观幸福感的空间分布证明了这三种模型的结果,这些空间分布是印度尼西亚日惹地区经济机会的代理。结果表明,第三个模型提供了对实际情况的更准确的预测,并且始终比其他两个模型表现更好。因此,我们得出结论,邻近村庄的条件和基础设施的相互依存关系会影响一个村庄的经济机会,因此在制定有关基础设施发展中的资源分配的政策时应予以考虑。

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  • 来源
    《Computers,environment and urban systems》 |2012年第5期|p.371-385|共15页
  • 作者单位

    Master of Science Program in Management of Infrastructure and Community Development, Graduate School of Universitas Gadjah Mada, Jl Teknika Utara, Yogyakarta, Indonesia,University of Twente, Faculty of Geo-Information Science and Earth Observation, Hengelosestraat 99, P.O. Box 6, 7500 AA Enschede, The Netherlands;

    University of Twente, Faculty of Geo-Information Science and Earth Observation, Hengelosestraat 99, P.O. Box 6, 7500 AA Enschede, The Netherlands;

    University of Twente, Faculty of Geo-Information Science and Earth Observation, Hengelosestraat 99, P.O. Box 6, 7500 AA Enschede, The Netherlands;

    Master of Science Program in Management of Infrastructure and Community Development, Graduate School of Universitas Gadjah Mada, Jl Teknika Utara, Yogyakarta, Indonesia;

    Master of Science Program in Management of Infrastructure and Community Development, Graduate School of Universitas Gadjah Mada, Jl Teknika Utara, Yogyakarta, Indonesia;

    University of Twente, Faculty of Geo-Information Science and Earth Observation, Hengelosestraat 99, P.O. Box 6, 7500 AA Enschede, The Netherlands;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    infrastructure interdependency; economic opportunity; Rule-based OLS; spatial-lag; sugeno FIS; village level; indonesia;

    机译:基础设施的相互依赖性;经济机会;基于规则的OLS;空间滞后sugeno FIS;村级;印度尼西亚;
  • 入库时间 2022-08-18 02:09:30

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